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Role Description

The Staff Security Engineer will be responsible for designing, implementing, and maintaining security services that support our business. You will understand data and automation are important ingredients to our mission and know how to actively employ these ingredients at scale. Beyond the technical expertise, we value individuals who can partner cross-functionally across various teams, driving impactful outcomes and further securing our digital landscape.

• Lead the development, implementation, and ongoing maintenance of comprehensive security strategies and solutions.
• Design and deploy advanced security controls to safeguard networks, systems, and applications.
• Work across disciplines to shape our security services strategy and execution.
• Mentor and galvanize new engineers to do their best work.
• Set and uphold the standard for security processes to support high-quality engineering.

Qualifications

• BS/BTech (or higher) in Computer Science, Information Technology, Cybersecurity or a related field, 10 years security domain experience without degree.
• 8+ years of experience in software or security engineering within Cloud Native environments.

Requirements

• Experience architecting, developing, and deploying large-scale distributed systems at scale.
• Experience with cloud technologies, e.g., AWS, Azure, GCP.
• Experience building continuous integration and continuous development (CI/CD) pipelines.
• Strong familiarity with server-side web technologies (e.g., Java, Python, Scala, C#, C++, Go).
• 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
• Experience with health-tech systems, like Electronic Health Records, Clinical data, etc.

Domain Specific Experience

• AppSec and AI/ML Security.
• Lead AI/ML Security program for building SaaS systems using AI models including Gemni, Claude, LightLLM, and AWS Bedrock.
• Design and implement robust security controls for AI/ML systems, covering model training, inference, and data pipelines.
• Proactively identify and mitigate diverse threats, including model inversion, data poisoning, adversarial attacks, and prompt injection.
• Collaborate seamlessly with data scientists, ML engineers, and DevOps teams to embed security throughout the entire AI/ML lifecycle.
• Conduct thorough threat modeling and risk assessments for AI systems and algorithms.
• Develop and implement methods to monitor AI systems for anomalous behavior and potential misuse.
• Secure APIs and endpoints critical for model access and inference.

Physical Requirements

• Sitting for prolonged periods of time.
• Extensive use of computers and keyboard.
• Occasional walking and lifting may be required.

Benefits

• Flexible work schedules and the ability to work remotely are available for many roles.
• Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners.
• Robust time-off plan (21 days of PTO in your first year).
• Two paid volunteer days and 11 paid holidays.
• 12 weeks paid parental leave for all new parents.
• Six weeks paid sabbatical after six years of service.
• Educational Assistant Program and Clinical Employee Reimbursement Program.
• 401(k) with up to 4% match.
• Stock options.
• And much more!